vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue.
References
Configurations
No configuration.
History
30 May 2025, 18:15
Type | Values Removed | Values Added |
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New CVE |
Information
Published : 2025-05-30 18:15
Updated : 2025-06-02 17:32
NVD link : CVE-2025-48887
Mitre link : CVE-2025-48887
CVE.ORG link : CVE-2025-48887
JSON object : View
Products Affected
No product.
CWE
CWE-1333
Inefficient Regular Expression Complexity